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Edward Lowton
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Home> | Efficient Maintenance | >Industry 4.0 | >Questar demonstrates predictive maintenance solution |
Questar demonstrates predictive maintenance solution
01 April 2022
QUESTAR'S VINSIGHT AI Platform analyzes in-vehicle data provided by DSA's edge-computing unit VCG-2 and turns it into actionable insights that fleet owners, OEMs, and Tier-1 suppliers can use to identify and repair vehicle failures before problems occur.
The health insights are analyzed across the entire fleet to understand the root cause of the problem and trigger proactive alerts to be sent to Microsoft Dynamics 365 Field Service application supporting smart work-order scheduling.
"The solution being demonstrated at TMC maximizes vehicle uptime and reduces total cost of ownership (TCO) of commercial fleets," said Gil Reiter, VP Product Management of Questar. "The collaboration with DSA delivers best-in-class telematics, connectivity, cloud and AI analytics working seamlessly together on Azure IoT to provide unprecedented vehicle health management services to OEMs and fleets on top of Microsoft Dynamics 365."
Most telematics solutions provide trouble-coded based diagnostics to detect vehicle malfunctions. With these solutions, OEMs and fleet managers cannot predict failures, they can only react to them after the fact. This results in suboptimal operational performance and a higher level of total cost of ownership.
"Questar's proactive maintenance alerts complement Microsoft Azure IoT and Microsoft Dynamics 365 solutions well; Questar's technology in conjunction with Microsoft can enable more proactive, streamlined and cost-effective field service," said John Stenlake, director, vehicle innovation and mobility, automotive mobility and transportation industry, Microsoft.
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